基于边缘计算的新型任务卸载与资源分配策略

针对移动边缘计算(MEC)中密集型任务卸载时,系统开销较大和延时抖动明显的问题,提出一种新型资源分配策略。首先在系统时延约束下,分析了系统任务执行开销与终端设备的资源分配机制;其次建立了基于计算卸载和任务分配的联合凸优化目标;最后采用拉格朗日乘子法进行迭代更新得到最优解。仿真结果表明,所提任务卸载与资源分配方案在保证用户服务质量的同时降低了任务执行开销,并有效提升了MEC系统性能。

A new task offloading and resource allocation strategy based on mobile edge computing

Aiming at the problem of large system overhead and obvious delay jitter when offloading intensive tasks in Mobile Edge Computing (MEC), a new resource allocation strategy is proposed. Firstly, the strategy analyzes the system's task execution overhead and the terminal equipment's resource allocation mechanism under the constraints of system delay. Secondly, a joint convex optimization pro- blem of computation offloading and task assignment is established. Finally, the Lagrangian multiplier method is used to yield the optimal solution by iterative updating. The simulation results show that the proposed task offloading and resource allocation strategy ensures the user's quality of service while reducing the task execution overhead and effectively improves the performance of the MEC system.